AI News, Getting your first job in data science
- On 3. juni 2018
- By Read More
Getting your first job in data science
A few weeks ago, I came across a great post from David Robinson about his first year as a data scientist at Stack Overflow.
In a section of the post, David advised graduate students who wish to get into data science to create public artifacts.
David landed his job partly because of some public artifacts he created: blog posts and answers to questions on StackExchange.
Many of the great things that happened to me in the last few years are the result of making my work public: meeting new people, landing a job at PasswordBox, creating and selling a side project.
At that age, I was temporarily living in Chicago to attend the Starter League, a three months’ intensive coding boot camp.
As part of the program, we had a final project where we had to form a small team and ship a web project of our choice.
The project was solving a pain Enrique was experiencing managing the Chicago History Museum Tumblr account: tracking the number of followers over time.
Little did I know at the time, but the project would be featured in Hacker News and attract the likes of many interesting people, including the Tumblr engineering team.
It was a simple Rails web application that queried data from multiple API’s and reported back the data in a sensible way to the end-user.
However, it demonstrated that I had a few very important skills in data science: I can ship, I am passionate about data and I have some tech skills to make things happen.
Every week, there is a new skill you can pick up, a new paper on machine learning, a new technology that you could learn.
As you progress in your career, making your work public will help you create new opportunities, meet new people and get external feedback on your work.
- On 10. april 2021
The jobs we'll lose to machines -- and the ones we won't | Anthony Goldbloom
Machine learning isn't just for simple tasks like assessing credit risk and sorting mail anymore -- today, it's capable of far more complex applications, like grading ...
What I learned from 100 days of rejection | Jia Jiang
Jia Jiang adventures boldly into a territory so many of us fear: rejection. By seeking out rejection for 100 days -- from asking a stranger to borrow $100 to ...
Juno and The New Jupiter: What Have We Learned So Far?
Original air date: Tuesday, May 17 at 7 p.m. PT (10 p.m. ET, 0200 UTC) Juno is a solar-powered spacecraft which has been orbiting Jupiter since July 4, 2016.
How the Internet Works in 5 Minutes
Check out my new book, How to Prepare for Everything: The internet is not a fuzzy cloud. The internet is a wire, actually buried in the ..
Interview Question: Tell me about a time you handled a difficult situation
You'll definitely encounter this question during your next interview, so make sure you know how to answer it! For more career tips, visit
Things Learned the Hard Way About Being an Entrepreneur | Charles D. Morgan | TEDxMarkhamSt
A visionary who transformed a small Arkansas data company into a worldwide leader in Big Data, Charles D. Morgan turned his childhood curiosity in gadgets ...
How to Ask Better Questions | Mike Vaughan | TEDxMileHigh
How can humanity increase its capacity to make decisions in an increasingly complex world? In this informative talk, thinking rethinker Mike Vaughan shares ...
The single biggest reason why startups succeed | Bill Gross
Bill Gross has founded a lot of startups, and incubated many others — and he got curious about why some succeeded and others failed. So he gathered data ...
Human Resource Management
Interested in human resource management, but not sure what it's all about? Human resource professionals are typically responsible for making sure a workplace ...
Big Data will impact every part of your life | Charlie Stryker | TEDxFultonStreet
This talk was given at a local TEDx event, produced independently of the TED Conferences. 2500000000000000000 bytes of data (2.5 exabytes) every day is ...